About:
Investigation of dependencies between multiple data sources allows the
discovery of regularities and interactions that are not seen in
individual data sets. The demand for such methods is increasing with
the availability and size of co-occurring observations in
computational biology, open data initiatives, and in other domains. We
provide practical, open access implementations of general-purpose
algorithms that help to realize the full potential of these
information sources.